When AI acts faster than we can correct it: measuring the cost of errors

AI systems can accelerate workflows, but this speed can also make errors harder to detect and correct. Even with identical error rates, two systems can have vastly different risk profiles; one might stage changes for review, while another executes immediately across multiple services. Therefore, when deploying AI agents, it's crucial to evaluate the impact of errors and their downstream effects, considering the speed of execution and the potential for widespread consequences.

This report uniquely highlights how AI's execution speed, rather than just its error rate, determines the actual risk and downstream impact, unlike typical evaluations focusing solely on accuracy.